Prototype-based embedding network for scene graph generation
Abstract Current Scene Graph Generation (SGG) methods explore contextual information to
predict relationships among entity pairs. However, due to the diverse visual appearance of …
predict relationships among entity pairs. However, due to the diverse visual appearance of …
Dual-branch collaborative learning network for crop disease identification
W Zhang, X Sun, L Zhou, X **
Optimal transport (OT) studies the most economical transformation of one probability
measure into another, attracting attention across diverse fields and inspiring various OT …
measure into another, attracting attention across diverse fields and inspiring various OT …
Scene Adaptive Context Modeling and Balanced Relation Prediction for Scene Graph Generation
Scene graph generation (SGG) aims to perceive objects and their relations in images, which
can bridge the gap between upstream detection tasks and downstream high-level visual …
can bridge the gap between upstream detection tasks and downstream high-level visual …
EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification
The distribution of remote sensing scene images often follows a long-tailed pattern, where
there is an abundance of samples in a few dominant classes and a scarcity of samples in …
there is an abundance of samples in a few dominant classes and a scarcity of samples in …